Lead a data engineering team to enhance cloud data platforms, ensure high availability and reliability, and collaborate with cross-functional partners to meet business needs while driving innovation and mentoring team members.

Senior data engineers at Thoughtworks are engineers who build, maintain and test the software architecture and infrastructure for managing data applications. They are involved in developing core capabilities which include technical and functional data platforms. They are the anchor for functional streams of work and are accountable for timely delivery. They work on the latest big data tools, frameworks and offerings (data mesh, etc.), while also being involved in enabling credible and collaborative problem solving to execute on a strategy. Job responsibilities - You will develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions. - You will develop intricate data processing pipelines, addressing clients' most challenging problems. - You will collaborate with data scientists to design scalable implementations of their models. - You will write clean, iterative code using TDD and leverage various continuous delivery practices to deploy, support and operate data pipelines. - You will use different distributed storage and computing technologies from the plethora of options available. - You will develop data models by selecting from a variety of modeling techniques and implementing the chosen data model using the appropriate technology stack. - You will collaborate with the team on the areas of data governance, data security and data privacy. - You will incorporate data quality into your day-to-day work. Job qualifications Technical Skills - Working with data excites you: you can build and operate data pipelines, and maintain data storage, all within distributed systems. - You have hands-on experience of data modeling and modern data engineering tools and platforms. - You have experience in writing clean, high-quality code using the preferred programming language. - You have built and deployed large-scale data pipelines and data-centric applications using any of the distributed storage platforms and distributed processing platforms in a production setting. - You have experience with data visualization techniques and can communicate the insights as per the audience. - You have experience with data-driven approaches and can apply data security and privacy strategy to solve business problems. - You have experience with different types of databases (i.e.: SQL, NoSQL, data lake, data schemas, etc.). - Experience with Python, SQL, ETL/Data Pipelines, Databricks, modern Data Warehousing/Data lakes/Delta lakes (Snowflake, Redshift, BigQuery). - Experience with one or more major cloud platforms (AWS, Azure or GCP) and Machine Learning/AI/Gen AI/LLM. Professional Skills - You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way. - You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives. - You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them. - You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work. - You enjoy influencing others and always advocate for technical excellence while being open to change when needed. Other things to know Learning & Development There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys. Extra important information EEO Statement - Thoughtworks is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, ancestry, veteran status, or any other protected class. - As a federal contractor, Thoughtworks is an affirmative action employer of protected veterans and individuals with disabilities. Accommodations - Thoughtworks is committed to providing reasonable accommodations to applicants with disabilities and to applicants with sincerely held religious beliefs throughout the hiring process. If you need an accommodation to apply or participate in the interview process, please complete this form or speak with your recruiter. US - Work Authorization - Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment in the United States. Responsible Use of AI in Recruitment At Thoughtworks, we use AI tools to support our recruitment team with administrative tasks such as drafting communications, scheduling interviews and writing job descriptions. Crucially, our AI tools do not screen, assess, rank or make hiring decisions. Every application is reviewed by our team and all selection decisions are made exclusively by our interviewers and hiring managers. We are committed to fairness and responsible AI. We actively manage our AI systems by testing, monitoring for biased outcomes and implementing mitigation measures. We hold our third-party vendors to these same high standards through a rigorous governance process. For additional information, please see our full Thoughtworks AI Policy for Recruitment. About Thoughtworks Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary. #LI-Remote Salary Benefits: https://www.thoughtworks.com/en-us/careers/benefits The annual salary range posted is subject to many factors and may vary depending on experience, geographic location, job responsibilities, performance, skills and/or training. Salary $134,000—$203,000 USD See here our AI policy.

WHO WE ARE Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com. The Role We’re looking for a Senior Data Engineer to design, build, and operate the data pipelines and aggregates that power Zeta’s AdTech platform. This is a hands-on individual contributor role focused on high-scale batch + streaming data processing, reliable data products, and analytics-ready datasets that enable prediction, agentic workflows, BI reporting, and measurement. You will partner closely with backend, ML, and product teams to deliver trusted, well-modeled data with strong performance, quality, and observability. What You’ll Do - Build data pipelines: Develop robust batch and streaming pipelines (Kafka/Kinesis) to ingest, transform, and enrich large-scale event data (impressions, clicks, conversions, costs, identity signals). - Create data aggregates & marts: Design and maintain curated aggregates and dimensional models for multiple consumers—prediction models, agents, BI dashboards, and measurement workflows. - Data modeling & contracts: Define schemas, data contracts, and versioning strategies to keep downstream systems stable as sources evolve. - Data quality & reliability: Implement validation, anomaly detection, backfills, and reconciliation to ensure completeness, correctness, and timeliness (SLAs/SLOs). - Performance & cost optimization: Optimize compute/storage for scale (partitioning, file sizing, incremental processing, indexing), balancing latency, throughput, and cost. - Orchestration & automation: Build repeatable workflows with scheduling/orchestration (e.g., Airflow, Dagster, Step Functions) and CI/CD for data pipelines. - Observability for data systems: Instrument pipelines with metrics, logs, lineage, and alerting to accelerate detection and root-cause analysis of data issues. - Security & governance: Apply least-privilege access, PII-aware handling, and governance controls aligned with enterprise standards. Qualifications - 5+ years building production data pipelines and data products (batch and/or streaming) in a high-scale environment. - Strong experience with SQL and data modeling (dimensional modeling, star/snowflake schemas, event modeling). - Hands-on experience with streaming systems (Kafka preferred) and/or AWS Kinesis, including event-driven designs. - Proficiency in one or more languages used for data engineering (Python, Java, Scala, or Go). - Experience with distributed data processing (Spark, Flink, or equivalent) and performance tuning at scale. - Experience with AWS data services and cloud-native patterns (S3, Glue/EMR, Athena, Redshift, etc. as applicable). - Familiarity with lakehouse/table formats and large-scale storage patterns (e.g., Parquet; Iceberg/Hudi/Delta are a plus). - Experience with orchestration/workflow tooling (Airflow/Dagster/Step Functions) and CI/CD for data workloads. - Strong data quality/observability practices (tests, monitoring, lineage; understanding of SLAs/SLOs). - Experience with SQL + NoSQL data stores (e.g., Postgres/MySQL; DynamoDB/Cassandra/Redis) and choosing the right store per use case. - Clear communicator and collaborator; able to work with mixed audiences and translate needs into reliable data interfaces. Preferred Experience - AdTech / programmatic advertising domain knowledge: DSP/SSP/exchange/RTB concepts and data flows. - Experience building measurement pipelines (attribution, incrementality, lift, or experimentation analytics). - Experience supporting ML feature stores, offline/online feature generation, or model training datasets. - Experience with real-time analytics stores (Druid/ClickHouse/Pinot) and high-cardinality aggregation strategies. - Deep knowledge of data governance/privacy, including PII handling and consent-aware data processing. - Open-source contributions, publications, or conference speaking. - BS/MS in CS/Engineering or equivalent practical experience. BENEFITS & PERKS - Unlimited PTO - Excellent medical, dental, and vision coverage - Employee Equity - Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!! SALARY RANGE The salary range for this role is $165,000 - $175,000, depending on location and experience. PEOPLE & CULTURE AT ZETA Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression. We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here: https://zetaglobal.com/blog/a-look-into-zetas-ergs/ ZETA IN THE NEWS! https://zetaglobal.com/press/?cat=press-releases #LI-YW1

• Design, development and optimization of machine learning and deep learning models • Design, implementation and optimization of NLP solutions, LLMs, and RAG architectures • Building retrieval and knowledge layers for semantic search with embeddings and vector or graph databases • Building, deployment and operation of ML and GenAI services • Building and operating scalable data pipelines